SELECTED APPLICATIONS OF DEEP NEURAL NETWORKS IN SKIN LESION DIAGNOSTIC


Abstract

The article provides an overview of selected applications of deep neural networks in the diagnosis of skin lesions from human dermatoscopic images, including many dermatological diseases, including very dangerous malignant melanoma. The lesion segmentation process, features selection and classification was described. Application examples of binary and multiclass classification are given. The described algorithms have been widely used in the diagnosis of skin lesions. The effectiveness, specificity, and accuracy of classifiers were compared and analysed based on available datasets.


Keywords

dermatoscopic images; neural networks; melanoma; skin lesions

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Published : 2021-12-20


Michalska, M. (2021). SELECTED APPLICATIONS OF DEEP NEURAL NETWORKS IN SKIN LESION DIAGNOSTIC. Informatyka, Automatyka, Pomiary W Gospodarce I Ochronie Środowiska, 11(4), 18-21. https://doi.org/10.35784/iapgos.2804

Magdalena Michalska  mmagamichalska@gmail.com
Lublin University of Technology, Department of Electronics and Information Technology  Poland
http://orcid.org/0000-0002-0874-3285